@InProceedings{tanisaro_et_al:LIPIcs.TIME.2018.21,
  author =	{Tanisaro, Pattreeya and Heidemann, Gunther},
  title =	{{An Empirical Study on Bidirectional Recurrent Neural Networks for Human Motion Recognition}},
  booktitle =	{25th International Symposium on Temporal Representation and Reasoning (TIME 2018)},
  pages =	{21:1--21:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-089-7},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{120},
  editor =	{Alechina, Natasha and N{\o}rv\r{a}g, Kjetil and Penczek, Wojciech},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2018.21},
  URN =		{urn:nbn:de:0030-drops-97865},
  doi =		{10.4230/LIPIcs.TIME.2018.21},
  annote =	{Keywords: Recurrent Neural Networks, Human Motion Classification, Echo State Networks, Motion Capture, Bidirectional Recurrent Neural Networks}
}